Clean GTM brain

Clean helps B2B sales teams identify companies showing timely buying signals, find decision makers and initiate outreach.

category

B2B buying-signal intelligence

market profile

  • text: Clean combines dated records from more than 1,000 live sources to infer a reason to buy and a contact window.
  • text: The company reports a Vivameda customer result of $60,000 signed in two weeks; this is a vendor-published case study, not a typical outcome.

personas

  • title: Founder leading B2B sales
    pains:
    • Spending scarce selling time researching and qualifying accounts
    • Generic lists fail to explain why a buyer should act now
  • title: Sales development or revenue operations leader
    pains:
    • Signals are scattered across permits, hiring, shipments and company records
    • Representatives need reliable decision-maker contacts and a timely reason to reach out
  • title: GTM engineer building sales agents
    pains:
    • Agents need fresh account context and actionable buyer timing rather than static lead data
    • Disconnected sales systems make campaign context hard to reuse

icp

  • text: B2B vendors selling into physical industries such as manufacturing, where permits, facility expansion and shipments can reveal demand.
  • text: Founder-led or growing sales teams selling healthcare, legal, financial or infrastructure technology with a defined ICP.

message pillars

  • text: Get to promising buyers before competitors.
  • text: Combine events into an actionable purchase rationale.
  • text: Focus on the person responsible for the decision.

objections

  • objection: Are the predicted signals actually relevant to our product?
    response: Test a small set of accounts against your ICP and inspect underlying dated records with sales reps.
  • objection: We already have prospecting and enrichment tools.
    response: Compare whether the existing stack connects multiple events into a documented reason to contact an account now.
  • objection: What happens to synced Gmail data?
    response: Review the stated deletion and data-use terms with your security team before connecting mail.

competitors

  • name: Clay
    why: GTM enrichment and workflow platform competing for prospecting budgets.
  • name: Apollo
    why: Sales intelligence and outbound platform with contact discovery and prospecting.

influencers

  • name: Pratham Patel
    url: https://www.linkedin.com/posts/prathampatel2618_clean-is-now-officially-in-jackson-square-activity-7449952804409917440-SnUT
    why: Founder posting about Clean and its early company journey.

keywords

  • B2B buying signals
  • sales intent data
  • manufacturing lead generation
  • buyer intent prospecting
  • sales trigger events
  • AI sales intelligence
  • company permit sales leads

voice

  • direct
  • commercially focused
  • specific and evidence-led

signals

  • text: Founder-led sales team is spending hours each week building prospect lists.
  • text: Seller targets industries where facility permits, equipment purchases or contracts precede a need for its product.

stack

  • Gmail
  • HubSpot
  • LinkedIn
  • Instantly
  • Claude
  • Codex
  • MCP

pricing

model: unknown

motion

sales_led

channels

  • SEO
  • LinkedIn
  • founder-led sales
  • customer stories

confidence

medium

Founders

  • name: Pavan Kumar Naguvanahalli Yashavantha
    title: Founder/CEO
    role: CEO
    bio: Founder @ Clean. 2x founder. Prev. Head of Community @ Cliqk, growing it to 10k+ users, 300k in revenue & 28M+ views. Enterprise Sales @ Cisco at 18. Ex. UCSD.
  • name: Tejas Gupta
    title: Founder/COO
    role: COO
    bio: Founder at Clean (YC F26). Previously ML Engineer at Todd Agriscience, where he built the AI platform that anchored a $40M raise and served 6k+ farmers. Founded DocIQ (100+ users, 20 paying customers in weeks). Won HackHarvard 2025. CS @ Arizona State.
  • name: Pratham Patel
    title: Founder/CTO
    role: CTO
    bio: Founder at Clean (YC F26). Previously built Lokus (5K+ users in 24 hours). Research intern at Dhirubhai Ambani University, where he built RL pipelines using GRPO that achieved 20% higher accuracy than PPO for medical LLM question-answering. At DAIICT, built an LLM self-correction framework using PPO that improved math reasoning accuracy by 60% on GSM8K benchmarks. BS Computer Science at Gannon University.
  • name: Clarissa Saputra
    title: Founder/CPO
    role: CPO
    bio: Co-founder at Clean (YC F26). International Physics Olympiad (IPhO) and Asian Physics Olympiad (APhO). Prev. Ruangguru. AAAI 2026. Existential Robotics Lab.

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